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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14905
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    Explanations

    terms related to cleanliness and clean technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "clean" or "cleanliness"

    np_acts-logits-general · gemini-2.0-flash

    clean, cleanliness, cleaner

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     otomatig
    -0.50
     PeEnEo
    -0.49
    Искәрмәләр
    -0.47
    Билгалдахарш
    -0.43
    MENAFN
    -0.41
     
    -0.40
    ylla
    -0.39
     memen
    -0.38
    argout
    -0.38
    CardHeader
    -0.38
    POSITIVE LOGITS
     Clean
    0.89
    Clean
    0.88
     CLEAN
    0.84
     unclean
    0.82
    clean
    0.82
    CLEAN
    0.81
    cleaner
    0.80
     clean
    0.79
     cleans
    0.79
    Cleaner
    0.75
    Activations Density 0.179%

    No Known Activations